TensorRT-LLMs/cpp/include/tensorrt_llm/runtime/statefulGptDecoderBatched.h
Robin Kobus 77724b0fcb
Reapply "refactor: Replace DecoderFinishedEvent with CudaEvent in decoder clas…" (#3183) (#3195)
* Reapply "refactor: Replace DecoderFinishedEvent with CudaEvent in decoder clas…" (#3183)

This reverts commit 75495730bc.

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

* fixup! Reapply "refactor: Replace DecoderFinishedEvent with CudaEvent in decoder clas…" (#3183)

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

---------

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
2025-04-04 15:56:28 +02:00

69 lines
2.6 KiB
C++

/*
* Copyright (c) 2022-2024, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include "tensorrt_llm/runtime/iGptDecoderBatched.h"
#include "tensorrt_llm/runtime/iStatefulGptDecoder.h"
namespace tensorrt_llm::runtime
{
class GptDecoderBatched;
//! GPT decoder class with support for in-flight batching and stateful interface
class StatefulGptDecoderBatched : public IStatefulGptDecoder
{
public:
using CudaStreamPtr = std::shared_ptr<CudaStream>;
using TensorPtr = ITensor::SharedPtr;
StatefulGptDecoderBatched(CudaStreamPtr stream, nvinfer1::DataType dtype);
~StatefulGptDecoderBatched() override;
// IStatefulGptDecoder implementation
void setup(executor::DecodingMode const& mode, SizeType32 maxBatchSize, SizeType32 maxBeamWidth,
SizeType32 maxAttentionWindow, SizeType32 sinkTokenLength, SizeType32 maxSequenceLength,
nvinfer1::DataType dtype, ModelConfig const& modelConfig, WorldConfig const& worldConfig) override;
void newBatch(GenerationInput const& inputs, GenerationOutput const& outputs, SamplingConfig const& samplingConfig,
ModelConfig const& modelConfig) override;
void forwardAsync(decoder::Output& output, decoder::Input const& input) override;
void forwardSync() override;
[[nodiscard]] TensorPtr getIds() const override;
[[nodiscard]] TensorPtr getGatheredIds() const override;
void finalize(SamplingConfig const& samplingConfig) const override;
[[nodiscard]] TensorPtr getCumLogProbs() const override;
[[nodiscard]] TensorPtr getLogProbs() const override;
[[nodiscard]] TensorPtr getNewTokens(SizeType32 iter = 0) const override;
[[nodiscard]] TensorPtr getNbFinished() const override;
private:
std::unique_ptr<GptDecoderBatched> mDecoder;
// only used for IStatefulGptDecoder
CudaEvent mDecoderFinishEvent;
CudaEvent mForwardEvent;
TensorPtr mFinishedSum;
TensorPtr mBatchSlotsSetup; // [maxBatchSize], int32_t, address map, pinned
TensorPtr mBatchSlotsDecoder; // [maxTokensPerEngineStep, maxBatchSize], int32_t, address map, pinned
};
} // namespace tensorrt_llm::runtime